Preprint
Aug 2026
Chain-of-Experience for Continual LLM Improvement
This study studies how LLMs learn from iterative experience at test time, a setting the authors refer to as Chain-of-Experience (CoE), where models accumulate experiential traces through iterative interactions with self or environmental feedback to form a continual improvement loop beyond zero-shot inference.
Haoqin Tu, Yunhao Fang, Yizhong Wang et al.
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